metadata
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mbti-classification-roberta-base
results: []
mbti-classification-roberta-base
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.1673
- Accuracy: 0.3031
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.1161 | 1.0 | 20490 | 2.0814 | 0.2993 |
| 2.0021 | 2.0 | 40980 | 2.0563 | 0.3073 |
| 1.8974 | 3.0 | 61470 | 2.0769 | 0.3074 |
| 1.8346 | 4.0 | 81960 | 2.1221 | 0.3073 |
| 1.7826 | 5.0 | 102450 | 2.1673 | 0.3031 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1+cu102
- Datasets 2.7.1
- Tokenizers 0.13.2